About DataTrails

DataTrails offers a Provenance API that generates immutable audit trails for digital content, ensuring verifiable authenticity and data lineage. This technology addresses the need for transparency in multi-party scenarios, enabling organizations to maintain trust and compliance in their data distribution processes.

```xml <problem> In the age of AI-generated content and widespread data sharing, organizations struggle to maintain transparency and trust in their digital assets. Verifying the authenticity and tracking the lineage of data across multiple parties is challenging, leading to concerns about compliance, fraud, and misattribution. </problem> <solution> DataTrails provides a Provenance API that generates immutable audit trails for digital content, ensuring verifiable authenticity and data lineage. The API associates the identity of operations with the actions and events of a workflow, creating a tamper-proof record of who did what and when. By linking content with immutable metadata and cryptographic hashes, DataTrails enables users to instantly verify content and determine if assets are trusted. The platform supports IETF SCITT standards, facilitating integration with applications that require safe, secure, and trustworthy data. </solution> <features> - Provenance API for generating immutable audit trails - Cryptographic hashing and metadata linking for content verification - Support for IETF SCITT standards for interoperability - Tamper-proof ledger for recording chronological sequences of activities - Tools for identifying training datasets used in AI models - Features for tracking outputs with verifiability and transparency - Integration capabilities for chain of custody solutions - Proof Portal for durable media protection to verify content authenticity and debunk deepfakes </features> <target_audience> DataTrails targets tech teams building responsible AI, media teams focused on content authenticity, and supply chain teams seeking enhanced oversight. </target_audience> ```

What does DataTrails do?

Where is DataTrails located?

DataTrails is based in Santa Clara, Cuba.

When was DataTrails founded?

DataTrails was founded in 2018.

How much funding has DataTrails raised?

DataTrails has raised 12690000.

Location

Santa Clara, Cuba

Founded

2018

Funding

12690000

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DataTrails

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Executive Summary

datatrails.ai LinkedIn Profile

Founded 2018 – Santa Clara, Cuba

Funding

Estimated Funding

$10M+

Team

No team information available.

Company Description

Problem

In the age of AI-generated content and widespread data sharing, organizations struggle to maintain transparency and trust in their digital assets. Verifying the authenticity and tracking the lineage of data across multiple parties is challenging, leading to concerns about compliance, fraud, and misattribution.

Solution

DataTrails provides a Provenance API that generates immutable audit trails for digital content, ensuring verifiable authenticity and data lineage. The API associates the identity of operations with the actions and events of a workflow, creating a tamper-proof record of who did what and when. By linking content with immutable metadata and cryptographic hashes, DataTrails enables users to instantly verify content and determine if assets are trusted. The platform supports IETF SCITT standards, facilitating integration with applications that require safe, secure, and trustworthy data.

Features

Provenance API for generating immutable audit trails

Cryptographic hashing and metadata linking for content verification

Support for IETF SCITT standards for interoperability

Tamper-proof ledger for recording chronological sequences of activities

Tools for identifying training datasets used in AI models

Features for tracking outputs with verifiability and transparency

Integration capabilities for chain of custody solutions

Proof Portal for durable media protection to verify content authenticity and debunk deepfakes

Target Audience

DataTrails targets tech teams building responsible AI, media teams focused on content authenticity, and supply chain teams seeking enhanced oversight.